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Santiago Paternain
Tytuł
Cytowane przez
Cytowane przez
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Prediction-correction interior-point method for time-varying convex optimization
M Fazlyab, S Paternain, VM Preciado, A Ribeiro
IEEE Transactions on Automatic Control 63 (7), 1973-1986, 2017
1002017
Constrained reinforcement learning has zero duality gap
S Paternain, L Chamon, M Calvo-Fullana, A Ribeiro
Advances in Neural Information Processing Systems 32, 2019
922019
Navigation Functions for Convex Potentials in a Space with Convex Obstacles
S Paternain, DE Koditschek, A Ribeiro
IEEE Transactions on Automatic Control, 2015
652015
Time-varying convex optimization: Time-structured algorithms and applications
A Simonetto, E Dall'Anese, S Paternain, G Leus, GB Giannakis
Proceedings of the IEEE 108 (11), 2032-2048, 2020
622020
Decentralized online learning with kernels
A Koppel, S Paternain, C Richard, A Ribeiro
IEEE Transactions on Signal Processing 66 (12), 3240-3255, 2018
522018
Design and implementation of sensor data fusion for an autonomous quadrotor
M Tailanián, S Paternain, R Rosa, R Canetti
2014 IEEE International Instrumentation and Measurement Technology …, 2014
452014
A Newton-based method for nonconvex optimization with fast evasion of saddle points
S Paternain, A Mokhtari, A Ribeiro
SIAM Journal on Optimization 29 (1), 343-368, 2019
44*2019
Safe policies for reinforcement learning via primal-dual methods
S Paternain, M Calvo-Fullana, LFO Chamon, A Ribeiro
IEEE Transactions on Automatic Control, 2022
402022
Online Learning of Feasible Strategies in Unknown Environments
A Paternain, Santiago: Ribeiro
IEEE Transactions on Automatic Control 62 (6), 2807-2822, 2017
37*2017
Online Learning of Feasible Strategies in Unknown Environments
S Paternain, A Ribeiro
American Control Conference (ACC), 4231-4238, 2015
372015
Interior point method for dynamic constrained optimization in continuous time
M Fazlyab, S Paternain, VM Preciado, A Ribeiro
2016 American Control Conference (ACC), 5612-5618, 2016
282016
Stochastic policy gradient ascent in reproducing kernel hilbert spaces
S Paternain, JA Bazerque, A Small, A Ribeiro
IEEE Transactions on Automatic Control 66 (8), 3429-3444, 2020
202020
A prediction-correction method for model predictive control
S Paternain, M Morari, A Ribeiro
2018 Annual American Control Conference (ACC), 4189-4194, 2018
202018
Distributed constrained online learning
S Paternain, S Lee, MM Zavlanos, A Ribeiro
IEEE Transactions on Signal Processing 68, 3486-3499, 2020
152020
Learning safe policies via primal-dual methods
S Paternain, M Calvo-Fullana, LFO Chamon, A Ribeiro
2019 IEEE 58th Conference on Decision and Control (CDC), 6491-6497, 2019
152019
Calibration of an inertial measurement unit
S Paternain, M Tailanián, R Canetti
2013 16th International Conference on Advanced Robotics (ICAR), 1-6, 2013
112013
Constrained learning with non-convex losses
LFO Chamon, S Paternain, M Calvo-Fullana, A Ribeiro
IEEE Transactions on Information Theory, 2022
102022
Real-time model predictive control based on prediction-correction algorithms
S Paternain, M Morari, A Ribeiro
2019 IEEE 58th Conference on Decision and Control (CDC), 5285-5291, 2019
102019
Stochastic Artificial Potentials for Online Safe Navigation
S Paternain, A Ribeiro
102016
Navigation of a quadratic potential with ellipsoidal obstacles
H Kumar, S Paternain, A Ribeiro
Automatica 146, 110643, 2022
92022
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